# EPA Greenhouse Gas Emitters Scraper (`compute-edge/epa-ghg-emitters-scraper`) Actor Extract EPA Envirofacts Greenhouse Gas Reporting Program (GHGRP) facility data — names, locations, NAICS codes, and reporting years. Filter by state, year, and industry. No API key required. - **URL**: https://apify.com/compute-edge/epa-ghg-emitters-scraper.md - **Developed by:** [Compute Edge](https://apify.com/compute-edge) (community) - **Categories:** Lead generation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $3.00 / 1,000 results This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## EPA Greenhouse Gas Emitters Scraper **Extract facility data from the EPA's Greenhouse Gas Reporting Program (GHGRP).** Access detailed information on major industrial emitters including location, coordinates, reporting year, and industry classification. Filter by state, year, and NAICS code for targeted facility research. ### What This Actor Does This Actor provides direct access to the EPA Envirofacts database—specifically the **Public Dimension Facility** table from the Greenhouse Gas Reporting Program (GHGRP). It allows you to extract facility-level greenhouse gas emissions reporting data without authentication. #### Key Features - **900,000+ facilities** — Access the complete EPA GHGRP dataset - **Flexible filtering** — Filter by state, reporting year, and NAICS industry code - **Location data** — Latitude/longitude coordinates for mapping and geospatial analysis - **Industry codes** — NAICS classification for supply-chain targeting - **No API key required** — Direct access to public EPA data - **Batch processing** — Efficient extraction in windows of 10,000 records - **Deduplication** — Automatic removal of duplicate facilities across reporting years - **Error handling** — Graceful fallback for network issues #### Typical Use Cases - **Environmental Compliance** — Monitor which facilities report greenhouse gas emissions in your region - **Supply Chain Mapping** — Identify suppliers and vendor locations in high-emission industries - **Geospatial Analysis** — Map facilities by location and assess environmental risk - **Industry Research** — Discover facility counts and distribution by NAICS code - **Carbon Credit Sourcing** — Find eligible offset projects and emissions verification sources ### Getting Started #### Step 1: Configure Inputs (All Optional) 1. **State** — 2-letter state code (e.g., "CA", "TX"). Leave blank for all states. 2. **Reporting Year** — Year of emissions report (e.g., 2022, 2023). Leave as 0 for all years. 3. **NAICS Code** — Industry code (e.g., "221112"). Leave blank for all industries. 4. **Max Results** — Maximum facilities to return (default 1000, max 50000). #### Step 2: Run the Actor 1. Fill in your desired filters (or leave all blank for 1000 random facilities) 2. Click **Start** 3. Results appear in the **Dataset** tab #### Step 3: Download Results Export results as JSON, CSV, or other formats via the Apify UI. ### How to scrape EPA greenhouse gas emitter data #### Tutorial 1: Find All Power Generation Facilities in California **Goal:** Identify electric power generation facilities (NAICS code 221112) reporting emissions in California. **Input configuration:** - **State:** `CA` - **NAICS Code:** `221112` - **Max Results:** `1000` **Expected output:** ```json [ { "facilityId": 1000001, "facilityName": "PSE Ferndale Generating Station", "city": "FERNDALE", "state": "WA", "stateName": "Washington", "zip": "98248", "county": "WHATCOM COUNTY", "address1": "5105 LAKE TERRELL ROAD", "latitude": 48.82, "longitude": -122.68, "naicsCode": "221112", "reportingYear": 2022 }, ... ] ```` **Use case:** Feed facility locations into a mapping tool to visualize power plants, or cross-reference with utility service territories to identify energy infrastructure. *** #### Tutorial 2: Track Year-Over-Year Facility Changes in Texas **Goal:** Compare facilities reporting emissions in Texas for 2021 vs. 2022 to identify new emitters or facility closures. **Input configuration (Run 1):** - **State:** `TX` - **Reporting Year:** `2021` - **Max Results:** `10000` **Input configuration (Run 2):** - **State:** `TX` - **Reporting Year:** `2022` - **Max Results:** `10000` **Expected workflow:** 1. Export Run 1 results as CSV 2. Export Run 2 results as CSV 3. Use a spreadsheet to compare facility IDs between the two years 4. Identify new facilities (in Run 2 but not Run 1) and closed facilities (in Run 1 but not Run 2) **Use case:** Track industrial development trends, identify emerging pollution sources, or monitor facility lifecycle changes. *** #### Tutorial 3: Survey Chemical Manufacturing Facilities Nationwide **Goal:** Identify all chemical manufacturing facilities (NAICS codes 325xxx) reporting greenhouse gas emissions. **Input configuration:** - **State:** (blank — all states) - **NAICS Code:** `325` (matches all 6-digit codes starting with 325) - **Max Results:** `50000` **Expected output:** A dataset of all chemical manufacturers reporting GHGRP emissions, with their locations and year of most recent report. **Use case:** Build a database of chemical manufacturers for regulatory research, supplier discovery, or environmental risk assessment. *** ### Input Parameters | Parameter | Type | Default | Description | |-----------|------|---------|-------------| | **state** | string | "" | 2-letter state code (e.g., "CA", "TX"). Blank = all states. Case-insensitive (input "ca" works). | | **year** | integer | 0 | Reporting year (e.g., 2022). Leave as 0 to include all years. | | **naicsCode** | string | "" | NAICS industry code (e.g., "221112" or "325" for partial match). Blank = all industries. | | **maxResults** | integer | 1000 | Maximum facilities to return (minimum 1, maximum 50000). | ### Output Fields Each record includes: | Field | Type | Description | |-------|------|-------------| | **facilityId** | integer | Unique EPA facility identifier | | **facilityName** | string | Name of the facility | | **city** | string | City where facility is located | | **state** | string | 2-letter state code | | **stateName** | string | Full state name (e.g., "California") | | **zip** | string | ZIP code | | **county** | string | County name | | **address1** | string | Street address | | **latitude** | number | Latitude for mapping (null if unavailable) | | **longitude** | number | Longitude for mapping (null if unavailable) | | **naicsCode** | string | NAICS industry code | | **reportingYear** | integer | Year of emissions report | ### Pricing This Actor uses **no API keys or subscriptions** — it accesses freely available EPA public data. - **Compute cost:** ~$0.0001-0.001 per run (depends on result volume and API latency) - **Typical cost per batch:** $0.01-0.05 for 1000 facilities - **Bulk runs (10,000+ facilities):** ~$0.10-0.25 per run The EPA data itself is completely **free** — you pay only for Apify compute time. ### Output Example ```json { "facilityId": 1001234, "facilityName": "Acme Chemical Plant #3", "city": "Houston", "state": "TX", "stateName": "Texas", "zip": "77001", "county": "HARRIS COUNTY", "address1": "1234 Industrial Blvd", "latitude": 29.7604, "longitude": -95.3698, "naicsCode": "325110", "reportingYear": 2022 } ``` ### Troubleshooting #### "No records found" - Verify the state code is valid (2 letters, e.g., "CA" not "California") - Check that the NAICS code is correct (e.g., "221112" for power generation) - Try running without filters (leave blank) to fetch all facilities - Note: Not all states or years have reports — try a different state or year range #### "Actor timed out" - Reduce `maxResults` to a smaller number (e.g., 1000 instead of 10000) - Add a state filter to narrow the dataset - Try running multiple times with different years #### "Empty dataset" - The combination of filters may not match any facilities - Try removing filters one at a time to identify which filter is too restrictive - Use the EPA's GHGRP search at https://ghgrp.epa.gov/ghgrpublicsearch/ to manually verify data exists for your filters ### FAQ **Q: What is the EPA's Greenhouse Gas Reporting Program (GHGRP)?**\ A: GHGRP is a mandatory federal program requiring large industrial emitters (primarily ≥25,000 metric tons CO₂e/year) to report greenhouse gas emissions annually. The data is public and updated yearly. **Q: Why are some facilities missing?**\ A: Not all facilities report every year. Some may have closed, been acquired, or fall below the reporting threshold. Facilities in certain sectors (e.g., agriculture, smaller operations) may not be included. **Q: Can I filter by emissions volume?**\ A: No — this Actor returns facility records only. To filter by emissions magnitude, download the data and post-process it, or contact the EPA for detailed emissions reports (available separately). **Q: How often is the EPA data updated?**\ A: Annual reports are typically published in the second quarter of the following year. Data is refreshed when EPA updates their Envirofacts service. **Q: Can I use this for compliance monitoring?**\ A: Yes — the data is official and public. However, verify facility details against official EPA records before making compliance decisions. ### Related Actors Looking for other EPA or environmental data sources? - **[EPA TRI Scraper](https://apify.com/seatsignal/epa-tri-scraper)** — Toxic Release Inventory facility data - **[EPA ECHO Scraper](https://apify.com/seatsignal/epa-echo-scraper)** — Enforcement and Compliance History Online (ECHO) environmental permit and inspection records - **[CISA KEV Scraper](https://apify.com/seatsignal/cisa-kev-scraper)** — Cybersecurity vulnerability intelligence (for compliance automation) ### Legal & Support **Data Source:** All data is sourced from the EPA's Envirofacts service (https://data.epa.gov/), which is in the public domain and freely available. **Disclaimer:** This Actor provides access to publicly available EPA data. Verify facility records against official EPA GHGRP publications (https://ghgrp.epa.gov/) before using in regulatory or compliance contexts. The Actor is not affiliated with or endorsed by the EPA. **Terms of Use:** Respect EPA's data usage terms. The EPA generally allows free public reuse of data; always attribute the EPA as the source and include a link to the original GHGRP publication. **Support:** If you encounter issues: 1. Verify your state code (2 letters) or NAICS code (5-6 digits) 2. Test the EPA API directly: `curl "https://data.epa.gov/efservice/PUB_DIM_FACILITY/STATE/CA/ROWS/0:9/JSON"` 3. Check EPA Envirofacts: https://data.epa.gov/ 4. Open an issue on Apify Community or contact support *** **Built with ❤️ for environmental researchers, supply chain analysts, and sustainability professionals.** # Actor input Schema ## `state` (type: `string`): Filter by U.S. state (2-letter code, e.g., 'CA', 'TX', 'NY'). Leave blank to include all states. ## `year` (type: `integer`): Filter by reporting year (e.g., 2022, 2023). Leave as 0 to include all years. ## `naicsCode` (type: `string`): Filter by NAICS industry code (e.g., '221112' for electric power generation). Leave blank to include all industries. ## `maxResults` (type: `integer`): Maximum number of facility records to return. Minimum 1, maximum 50000. ## Actor input object example ```json { "state": "", "year": 0, "naicsCode": "", "maxResults": 1000 } ``` # Actor output Schema ## `dataset` (type: `string`): No description # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = {}; // Run the Actor and wait for it to finish const run = await client.actor("compute-edge/epa-ghg-emitters-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = {} # Run the Actor and wait for it to finish run = client.actor("compute-edge/epa-ghg-emitters-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{}' | apify call compute-edge/epa-ghg-emitters-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=compute-edge/epa-ghg-emitters-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "EPA Greenhouse Gas Emitters Scraper", "description": "Extract EPA Envirofacts Greenhouse Gas Reporting Program (GHGRP) facility data — names, locations, NAICS codes, and reporting years. Filter by state, year, and industry. No API key required.", "version": "0.1", "x-build-id": "SmPcM2PoMNgNGp00w" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/compute-edge~epa-ghg-emitters-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-compute-edge-epa-ghg-emitters-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/compute-edge~epa-ghg-emitters-scraper/runs": { "post": { "operationId": "runs-sync-compute-edge-epa-ghg-emitters-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/compute-edge~epa-ghg-emitters-scraper/run-sync": { "post": { "operationId": "run-sync-compute-edge-epa-ghg-emitters-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "properties": { "state": { "title": "State (Optional)", "type": "string", "description": "Filter by U.S. state (2-letter code, e.g., 'CA', 'TX', 'NY'). Leave blank to include all states.", "default": "" }, "year": { "title": "Reporting Year (Optional)", "type": "integer", "description": "Filter by reporting year (e.g., 2022, 2023). Leave as 0 to include all years.", "default": 0 }, "naicsCode": { "title": "NAICS Code (Optional)", "type": "string", "description": "Filter by NAICS industry code (e.g., '221112' for electric power generation). Leave blank to include all industries.", "default": "" }, "maxResults": { "title": "Max Results", "minimum": 1, "maximum": 50000, "type": "integer", "description": "Maximum number of facility records to return. Minimum 1, maximum 50000.", "default": 1000 } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```